Application And Research On The Image Processing In License Plate Recognition

Our cities are developing intelligent traffic control system. However, to this days, there is still no uniform implementation of the specification. The development of intelligent traffic control system will inevitably need to strengthen management of vehicles, the vehicle license plate recognition system is to strengthen the management of the most important means to vehicle tracking, vehicle accident records, traffic data collection capabilities. With the increasing of city road tunnel construction projects, it is necessary to establish license plate recognition system of the intelligent traffic control system in the tunnel.At present, construction of urban road tunnel in the monitoring control system is based on tunnel specifications and construction related specifications to implement, and its own did not have a complete set of norms and standards. More mature in the current urban highway tunnel monitoring system does not include a license plate recognition. However, according to the role of LPR and urban road tunnel in urban road traffic control important role in intelligent traffic areas, the license plate recognition in the implementation of the tunnel system will be inevitable. The study of the license plate recognition in the tunnel system will be of great applicability and enforceability.This paper is on a road tunnel under the city license plate recognition system in the intelligent traffic control in the vacancy as the starting point, Wuhan Zhongshan Road Tunnel Monitoring System as a platform. First of all, to study on the license plate recognition system and urban road tunnel monitoring system, through analysising the tunnel control system hardware structure, characteristics of the control environment within the tunnel, summed up the city road tunnel monitoring environmental characteristics, and for the characteristics of the control strategy proposed deal; Based on Zhongshan Road Wuhan City Tunnel Monitoring System project experience, proposed a set of applicable city road tunnel to monitor license plate recognition system; Research on a lot of literatures of License plate recognition, proposes a new method of license plate recognition based on color feature, through the results of experiments show that the method accuracy and time efficiency are both high, which can improve the recognition rate of license plate recognition system and reduce the missing rate; In the last paper, through analysising DSP chip features and application, proposes the system architecture license plate recognition based on DSP camera. Analysising showed that the structure is superior to PC-based system architecture, will become part of the license plate recognition product development trends.To establish urban road tunnel license plate recognition system has an important significance for the city intelligent traffic control system. How to build more powerful, stronger, more effective tunnel license plate recognition system is the center of this paper. Raised in the paper on how to set up within the city road tunnel license plate recognition system, vehicle license plate location algorithm and DSP chip embedded in the camera's ideas may have strong actionability and important commercial value.